针对有线过程控制难以解决工业现场环境恶劣、布线复杂和施工困难等问题，设计开发了基于比例积分微分的预测函数控制算法的无线高温加热炉温度控制系统.首先利用无线硬件搭建基于WirelessHart协议的无线通信网络，以替代传统的有线网络.在此无线网络的环境下，以监视与控制通用系统组态软件为平台、工业高温加热炉为研究对象，采用改进预测函数控制与传统比例积分微分控制相结合的算法，开发了无线高温加热炉温度控制系统，实现对高温加热炉温度的无线监测和实时控制.工程实施结果表明所设计的控制系统可以解决无线通信过程中丢包问题，其可靠性、控制精度、响应速度均能够满足工业现场的要求，并有效地解决了有线网络可拓展性和可移动性差等问题.
Address to the complicacy and difficulty of wiring installation for wired process control in harsh industrial site environment, this paper develops a wireless temperature control system for high temperature heating furnace based on predictive functional control-proportion integration differentiation (PFC-PID). First, a wireless communication network based on WirelessHart protocol is built to replace the traditional wired network. The wireless network uses the monitor and control generated system (MCGS) configuration software as application platform to measure and analyze the industrial high-temperature heating furnace. Then the wireless temperature control system is developed by integrating the improved predictive functional control (PFC) with the traditional proportion integration differentiation (PID), to realize wireless monitoring and real-time control of the temperature of the heating furnace. The results of engineering implementation show that the designed control system can solve the problem of packet loss in the wireless communication process. It works with satisfied reliability, control accuracy and response speed required in industrial sites. The designed system can also solve the problems of low scalability and poor mobility of wired network effectively.
[1] 苏成利,张日东,张健明,等. 焦化加热炉出口温度的预测函数控制[J]. 化工自动化及仪表,2007, 34(1):27-32. Su C L, Zhang R D, Zhang J M, et al. Predictive functional control of outlet temperature in delayed coking furnace[J]. Control and Instruments in Chemical Industry, 2007, 34(1):27-32. (in Chinese)
[2] Xu W, Zhang J F, Zhang R D. Application of multi-model switching predictive functional control on the temperature system of an electric heating furnace[J]. ISA Transactions, 2017, 68:287-292.
[3] Lin H, Su H Y, Shu Z, et al. Optimal estimation in UDP-like networked control systems with intermittent inputs:stability analysis and suboptimal filter design[J]. IEEE Transactions on Automatic Control, 2016, 61(7):1794-1809.
[4] 彭高丰,蒋伟进. 具有积分二次约束属性的网络控制系统H∞ 容错控制[J]. 控制理论与应用,2016, 33(3):406-412. Peng G F, Jiang W J. H-infinity fault-tolerant control for networked control systems with integral quadratic constraints performance[J]. Control Theory & Applications, 2016, 33(3):406-412. (in Chinese)
[5] Jin Q B, Wu S, Zhang R D. Improved constrained model predictive tracking control for networked coke furnace systems over uncertainty and communication loss[J]. IEEE Transactions on Systems Man & Cybernetics Systems, 2018, 99:1-8.
[6] Aung N N, Crowe E, Liu X. Development of self-powered wireless high temperature electrochemical sensor for in situ corrosion monitoring of coal-fired power plant[J]. ISA Transactions, 2015, 55:188-194.
[7] Zeng Y, Zhang R, Lim T J. Wireless communications with unmanned aerial vehicles:opportunities and challenges[J]. IEEE Communications Magazine, 2016, 54(5):36-42.
[8] 史兵,段锁林,李菊,等. 基于无线传感器网络的室内移动灭火机器人系统设计[J]. 计算机应用,2018, 38(1):284-289. Shi B, Duan S L, Li J, et al. Design of indoor mobile fire-extinguishing robot system based on wireless sensor network[J]. Journal of Computer Applications, 2018, 38(1):284-289. (in Chinese)
[9] Azaza M, Tanougast C, Fabrizio E, et al. Smart greenhouse fuzzy logic based control system enhanced with wireless data monitoring[J]. ISA Transactions, 2016, 61:297-307.
[10] 田波,周武能,周全权,等. 基于BP-PID算法的无线分布式温度控制系统[J]. 控制工程,2015, 22(5):841-847. Tian B, Zhou W N, Zhou Q Q, et al. Wireless distributed temperature control system based on the BP-PID algorithm[J]. Control Engineering of China, 2015, 22(5):841-847.
[11] Bayindir R, Cetinceviz Y. A water pumping control system with a programmable logic controller (PLC) and industrial wireless modules for industrial plants-an experimental setup[J]. ISA Transactions, 2011, 50(2):321-328.
[12] 戴虎. GSM网络体系结构及其网络优化[J]. 武汉理工大学学报(信息管理工程版),2005, 27(1):10-14. Dai H. A GSM network system structure and its optimization[J]. Journal of WUT (Information & Management Engineering), 2005, 27(1):10-14. (in Chinese)
[13] Petersen S, Carlsen S. WirelessHART versus ISA100.11a:the format war hits the factory floor[J]. IEEE Industrial Electronics Magazine, 2011, 5(4):23-34.
[14] Ferrari P, Flammini A, Rizzi M, et al. Improving simulation of wireless networked control systems based on WirelessHART[J]. Computer Standards & Interfaces, 2013, 35(6):605-615.
[15] Nobre M, Silva I, Guedes L A. Performance evaluation of WirelessHART networks using a new network simulator 3 module[J]. Computers & Electrical Engineering, 2015, 41:325-341.
[16] Rezha F P, Saputra O D, Shin S Y. Extending CAN bus with ISA100.11a wireless network[J]. Computer Standards & Interfaces, 2015, 42:32-41.
[17] Bertelli G, Santos A, Cesar J, et al. Performance evaluation of ISA100.11a wireless feedback control[J]. IFAC-PapersOnLine, 2016, 49(30):290-295.
[18] Escobar I, Pruna E, Chang O, et al. Implementation of a WirelessHART training system for upgrading industrial[J]. IEEE Latin America Transactions, 2016, 14(6):2663-2668.
[19] Yang D, Ma J, Xu Y Z, et al. Safe-WirelessHART:a novel framework enabling safety-critical applications over industrial WSNs[J]. IEEE Transactions on Industrial Informatics, 2018, 14(8):3513-3523.
[20] Blevins T, Chen D, Han S, et al. Process control over real-time wireless sensor and actuator networks[C]//IEEE International Conference on High Performance Computing & Communications, 2015:1186-1191.
